Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1

genki10/Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1

Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1 is a text classification model from genki10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 9, 2025
Updated: Mar 9, 2025
SHA: f8a69b0f

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Base models

Model card

From the Hugging Face model README

Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7371
Qwk: 0.5805
Mse: 0.7370
Rmse: 0.8585

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	3	10.4570	0.0018	10.4542	3.2333
No log	2.0	6	8.4046	0.0	8.4020	2.8986
No log	3.0	9	7.7772	0.0	7.7748	2.7883
No log	4.0	12	7.4947	0.0	7.4924	2.7372
No log	5.0	15	7.1804	0.0	7.1780	2.6792
No log	6.0	18	6.7397	0.0	6.7374	2.5956
No log	7.0	21	5.8688	-0.0256	5.8665	2.4221
No log	8.0	24	4.5181	0.0	4.5159	2.1251
No log	9.0	27	3.0730	0.0	3.0710	1.7524
No log	10.0	30	2.2086	-0.0376	2.2067	1.4855
No log	11.0	33	1.4633	0.0600	1.4616	1.2090
No log	12.0	36	1.1074	0.0	1.1060	1.0517
No log	13.0	39	0.9888	-0.0826	0.9876	0.9938
No log	14.0	42	1.0028	0.0872	1.0018	1.0009
No log	15.0	45	1.2222	0.0767	1.2214	1.1052
No log	16.0	48	1.4823	0.0433	1.4817	1.2172
No log	17.0	51	1.4175	0.0632	1.4172	1.1905
No log	18.0	54	0.9447	0.2124	0.9442	0.9717
No log	19.0	57	0.8707	0.2170	0.8697	0.9326
No log	20.0	60	0.8445	0.4171	0.8443	0.9189
No log	21.0	63	0.8206	0.4345	0.8195	0.9052
No log	22.0	66	0.7687	0.5625	0.7686	0.8767
No log	23.0	69	0.8124	0.5062	0.8114	0.9008
No log	24.0	72	0.8725	0.5592	0.8727	0.9342
No log	25.0	75	0.8971	0.5584	0.8974	0.9473
No log	26.0	78	0.6244	0.6243	0.6240	0.7899
No log	27.0	81	0.6298	0.6204	0.6294	0.7934
No log	28.0	84	1.0541	0.5353	1.0546	1.0269
No log	29.0	87	0.6878	0.5666	0.6870	0.8288
No log	30.0	90	0.7964	0.5532	0.7965	0.8925
No log	31.0	93	0.7211	0.5712	0.7210	0.8491
No log	32.0	96	1.0254	0.5111	1.0256	1.0127
No log	33.0	99	0.8989	0.5554	0.8991	0.9482
No log	34.0	102	0.7210	0.6193	0.7211	0.8492
No log	35.0	105	0.9336	0.5337	0.9338	0.9664
No log	36.0	108	0.9614	0.5098	0.9616	0.9806
No log	37.0	111	1.4375	0.4214	1.4381	1.1992
No log	38.0	114	0.6223	0.5789	0.6219	0.7886
No log	39.0	117	0.9263	0.5526	0.9265	0.9626
No log	40.0	120	0.9106	0.5490	0.9108	0.9543
No log	41.0	123	0.8136	0.5650	0.8136	0.9020
No log	42.0	126	1.1590	0.4785	1.1594	1.0768
No log	43.0	129	0.6166	0.6030	0.6163	0.7850
No log	44.0	132	0.9659	0.5312	0.9662	0.9829
No log	45.0	135	1.0071	0.5118	1.0073	1.0036
No log	46.0	138	0.7371	0.5805	0.7370	0.8585

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 9, 2025
Updated: Mar 9, 2025